Overview
- Introduces difficult concepts in a qualitative way with minimal use of mathematics
- Describes a freely available software for practical work
- Includes both theoretical and practical exercises to illustrate the content
- Highlights the latest advances in multivariate calibration models, mathematical pre-processing and analytical figures of merit
- Includes supplementary material: sn.pub/extras
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Table of contents (13 chapters)
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Front Matter
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Back Matter
Keywords
- Multivariate calibration
- Partial least-squares regression
- Analytical figures of merit
- Software for multivariate models
- Spectral pre-processing
- Direct and inverse calibration models
- MVC1 software
- Chemometrics introduction
- Multivariate calibration textbook
- Guide to multivariate calibration
- First-Order Multivariate Calibration
About this book
Reviews
Selected by Choice magazine as an Outstanding Academic Title for 2019
“Rich, concrete examples are lavishly illustrated, and ample references are provided. The text overall is challenging and rewarding for students and specialists alike.” (A. E. Viste, emeritus, Choice, Vol. 56 (10), June, 2019)
Authors and Affiliations
About the author
Prof. Dr. Alejandro César Olivieri has obtained his B.Sc. in Industrial Chemistry from the Catholic Faculty of Chemistry and Engineering, Argentina, in 1982, and his Ph.D. from the Faculty of Biochemical and Pharmaceutical Sciences, University of Rosario, Argentina, in 1986. He currently works in the Department of Analytical Chemistry of the latter Faculty, and is a fellow of the National Research Council of Argentina (CONICET). He has published about 200 scientific papers in international journals, several books and book chapters and supervised ten Ph.D. theses. He was John Simon Guggenheim Memorial Foundation fellow (2001-2002). His primary research field is multivariate calibration, including first- and higher-order models, analytical figures of merit and software development.
Bibliographic Information
Book Title: Introduction to Multivariate Calibration
Book Subtitle: A Practical Approach
Authors: Alejandro C. Olivieri
DOI: https://doi.org/10.1007/978-3-319-97097-4
Publisher: Springer Cham
eBook Packages: Chemistry and Materials Science, Chemistry and Material Science (R0)
Copyright Information: Springer Nature Switzerland AG 2018
Hardcover ISBN: 978-3-319-97096-7Published: 03 September 2018
Softcover ISBN: 978-3-030-07302-2Published: 14 December 2018
eBook ISBN: 978-3-319-97097-4Published: 20 August 2018
Edition Number: 1
Number of Pages: XVII, 243
Number of Illustrations: 2 b/w illustrations, 156 illustrations in colour
Topics: Analytical Chemistry, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences